PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-08-13 10:23:43.029773+00:00 (UTC)
In US/Central Time, this is 2024-08-13 05:23:43.029773-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../../_images/f3fec821915630eb8d9c3c876f3cd769013456cc95f86b3efaa69feaf208ce2e.png
We are just generating a random time serie here.
../../_images/2c164f6d45991097f1e0027eea83e81f40b088c3c460fdccf5b58d54f2f8bfd0.png
../../_images/3e7ee79e41f1b15d4850dec0f4245aeafcad1f9f862d862950cb4954182dc072.png